#!/usr/bin/env python3
"""
Redis 集成建议配置
如果需要 Redis，可以这样配置
"""

# requirements.txt 中添加:
# redis>=5.0.0
# celery[redis]>=5.3.0  # 如果需要分布式任务队列

# 1. Redis 作为任务状态存储
import redis
import json
from typing import Dict, Any

class RedisTaskManager:
    """基于 Redis 的任务管理器"""
    
    def __init__(self, redis_url: str = "redis://localhost:6379/0"):
        self.redis = redis.from_url(redis_url)
        self.task_prefix = "dialogue_task:"
        
    def save_task(self, task_id: str, task_data: Dict[str, Any]):
        """保存任务到 Redis"""
        key = f"{self.task_prefix}{task_id}"
        self.redis.setex(key, 3600*24, json.dumps(task_data))  # 24小时过期
        
    def get_task(self, task_id: str) -> Dict[str, Any]:
        """从 Redis 获取任务"""
        key = f"{self.task_prefix}{task_id}"
        data = self.redis.get(key)
        return json.loads(data) if data else None

# 2. Redis 作为缓存
class RedisCache:
    """Redis 缓存管理"""
    
    def __init__(self, redis_url: str = "redis://localhost:6379/1"):
        self.redis = redis.from_url(redis_url)
        
    def cache_model_result(self, file_hash: str, result: Dict):
        """缓存模型处理结果"""
        key = f"model_result:{file_hash}"
        self.redis.setex(key, 3600*2, json.dumps(result))  # 2小时缓存

# 3. Celery 分布式任务队列（可选）
from celery import Celery

app = Celery('dialogue_service')
app.config_from_object({
    'broker_url': 'redis://localhost:6379/2',
    'result_backend': 'redis://localhost:6379/3',
    'task_serializer': 'json',
    'accept_content': ['json'],
    'result_serializer': 'json',
})

@app.task
def process_audio_async(file_path: str, task_id: str):
    """异步音频处理任务"""
    # 这里调用现有的处理逻辑
    pass

# 4. Docker Compose 配置
docker_compose_example = """
version: '3.8'
services:
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    command: redis-server --appendonly yes
      
  dialogue_service:
    build: .
    ports:
      - "8000:8000"
    depends_on:
      - redis
    environment:
      - REDIS_URL=redis://redis:6379/0
      
volumes:
  redis_data:
"""

# 5. 配置开关
import os

USE_REDIS = os.getenv("USE_REDIS", "false").lower() == "true"
REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379/0")

if USE_REDIS:
    task_manager = RedisTaskManager(REDIS_URL)
else:
    from app.services.task_manager import TaskManager
    task_manager = TaskManager()  # 使用现有的内存版本